• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.310-316
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• 2022

The smart tourism service provides services such as travel planning and tour guides to tourists using key technologies of the 4th industrial revolution, such as the Internet of Things, communication infrastructure, big data, artificial intelligence, AR/VR, and drones. We are developing smart tourism services such as recommended travel products, my travel itinerary, tourism information, and chatbots for tourists through the smart tourism app. In this paper, we develop a smart tourism service system that provides real-time location-based tourism information and weather information to tourists. The smart tourism service system consists of a smart tourism app, a smart tourism information system, and an IoT data collection device. The smart tourism information system receives weather information from the IoT data collection device installed in the tourist destination. The location-based smart tourism service is provided as a smart tourism app in the smart tourism information system according to the Beacon's UUID in the IoT data collection device. The smart tourism information system stores the Beacon's UUIDs received from tourists and provides a safe hiking service for tourists.

• International Journal of Advanced Culture Technology
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• v.11 no.4
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• pp.385-392
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• 2023

The smart tourism service provides tourists with personal travel planner services and context-awareness-based tour guide services. In this paper, we propose the personal travel planner service that creates my travel itinerary using the smart tourism app and the travel planner system. The smart tourism app provides recommended travel products and POI tourist information used to create my travel itinerary. The smart tourism app also provides the smart tourism chatbot service that allows users to select POI tourist information easily and conveniently. The travel planner system consists of the smart tourism information system and the smart tourism chatbot system. The smart tourism information system provides users with travel planner services, recommended travel products, and POI tourism information through the smart tourism app. The smart tourism chatbot system consists of named entity recognition (NER), dialogue state tracking (DST), and Neo4J servers, and provides chatbot services as a smart tourism app. Users can create their own travel itinerary, modify the travel itinerary while traveling, and then register it as a recommended travel product to users, including acquaintances.

• International Journal of Advanced Culture Technology
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• v.12 no.3
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• pp.73-79
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• 2024

The smart tourism chatbot service provide smart tourism services to users easily and conveniently along with the smart tourism app. In this paper, the tourism information QA (Question Answering) service is proposed based on the task-oriented smart tourism chatbot system [13]. The tourism information QA service is an MRC (Machine reading comprehension)-based QA system that finds answers in context and provides them to users. The tourism information QA system consists of NER (Named Entity Recognition), DST (Dialogue State Tracking), Neo4J graph DB, and QA servers. We propose tourism information QA service uses the tourism information NER model and DST model to identify the intent of the user's question and retrieves appropriate context for the answer from the Neo4J tourism knowledgebase. The QA model finds answers from the context and provides them to users through the smart tourism app. We develop the tourism information QA model by transfer learning the bigBird model, which can process the context of 4,096 tokens, using the tourism information QA dataset.

• Journal of Smart Tourism
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• v.1 no.2
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• pp.27-36
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• 2021

As a popular concept, smart tourism is widely used as a strategic tool to improve the competitiveness of world tourism destinations. Taking Macao as a case study, this research explores the relationship between government, academic research, and smart destination applications, with a view toward investigating the utilization of smart technology to achieve service innovation, effective communication with tourists, and enhance the travel experience. The study summarizes the current situation of smart tourism in Macao, finding that most of the smart services in Macao rely on users to obtain information spontaneously and do not achieve real interaction and service demand. Suggestions and advice for smart development are provided.

• International Journal of Internet, Broadcasting and Communication
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• v.8 no.4
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• pp.39-47
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• 2016

This study is a smart tourism research based on face recognition applied system that manages individual information of foreign tourists to smartphone. It is a way to authenticate by using face recognition, which is biometric information, as a technology applied to identification inquiry, immigration control, etc. and it is designed so that tourism companies can provide customized service to customers by applying algorism to smartphone. The smart tourism system based on face recognition is a system that prepares the reception service by sending the information to smartphone of tourist service company guide in real time after taking faces of foreign tourists who enter Korea for the first time with glasses attached to the camera. The smart tourism based on face recognition is personal information recognition technology, speech recognition technology, sensing technology, artificial intelligence personal information recognition technology, etc. Especially, artificial intelligence personal information recognition technology is a system that enables the tourism service company to implement the self-promotion function to commemorate the visit of foreign tourists and that enables tourists to participate in events and experience them directly. Since the application of smart tourism based on face recognition can utilize unique facial data and image features, it can be beneficially utilized for service companies that require accurate user authentication and service companies that prioritize security. However, in terms of sharing information by government organizations and private companies, preemptive measures such as the introduction of security systems should be taken.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.2
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• pp.55-62
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• 2022

A smart tourism chatbot is needed as a user interface to efficiently provide smart tourism services such as recommended travel products, tourist information, my travel itinerary, and tour guide service to tourists. We have been developed a smart tourism app and a smart tourism information system that provide smart tourism services to tourists. We also developed a smart tourism chatbot service consisting of khaiii morpheme analyzer, rule-based intention classification, and tourism information knowledge base using Neo4j graph database. In this paper, we develop the Korean and English smart tourism Name Entity (NE) datasets required for the development of the NER model using the pre-trained language models (PLMs) for the smart tourism chatbot system. We create the tourism information NER datasets by collecting source data through smart tourism app, visitJeju web of Jeju Tourism Organization (JTO), and web search, and preprocessing it using Korean and English tourism information Name Entity dictionaries. We perform training on the KoBERT-CRF NER model using the developed Korean and English tourism information NER datasets. The weight-averaged precision, recall, and f1 scores are 0.94, 0.92 and 0.94 on Korean and English tourism information NER datasets.

• Journal of Smart Tourism
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• v.2 no.4
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• pp.35-43
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• 2022

Tourism businesses use chat services to provide immediate customer support and to help users navigate within a website, but there are more outcomes of this interaction that should be examined. The current study aimed to discover if the online travel chat service quality and information value of the online travel chat service lead to user satisfaction with the service and visit intention to a recommended destination by Korea Tourism Organization's 1330 Live Chat. The results indicate that information value (functional and innovation) and online travel chat service quality (reliability, assurance, and security) lead to satisfaction with the live chat service and visit intention to a recommended destination. The results can benefit practitioners who want to expand and improve their customer service interaction and recommendations, and to scholars who study the relationship between customer services in tourism recommendation and sales context.

• Journal of Smart Tourism
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• v.3 no.2
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• pp.5-13
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• 2023

Because of increasing anxiety about infectious diseases and the demand for contactless service caused by the COVID-19 pandemic, it has become crucial for the tourism and hospitality sector to understand customers' psychological mechanism of contactless service during and post COVID-19. Thus, this paper proposes a conceptual model by integrating trust in the framework of the behavioral immune system. Interestingly, our study found that anxiety about infectious diseases during the COVID-19 pandemic has not only increased hotel customers' desire for contactless service and changed their behavioral intentions, but it has also impacted customers' trust in hotel service robots. Therefore, irrespective of how the hotel service environment changes, trust in technology has become the most fundamental factor for hotel customers' attitudes toward adopting technology. Based on the results, this paper provides salient theoretical and practical implications.

• Journal of Service Research and Studies
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• v.14 no.3
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• pp.19-45
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• 2024

As smart tourism cities are being actively introduced, efforts are emerging to understand the current situation and devise improvements from the perspective of services actually experienced by travelers. This study aimed to present directions for improving the overall service environment of smart tourism cities by introducing the servicescape perspective. It defined servicescape elements within smart tourism cities and analyzed how tourists' servicescape experiences affect their value perception, emotions, and satisfaction. The research model was designed by dividing servicescapes into physical servicescapes (cleanliness, convenience, electrical facilities) and communicative servicescapes (aesthetics and practicality of apps). A survey was conducted on 309 tourists who visited Suwon, a smart tourism city, and analyzed using Smart PLS. The analysis results showed that among physical servicescapes, cleanliness and electrical facilities had a significant impact on the evaluation of tourist destination value, while convenience had no effect. The communicative servicescape, namely the tourism app, had a significant impact on smart tourism value and overall destination value assessment. The tourism app and smart tourism value played a significant role in increasing tourists' positive emotions and decreasing negative emotions, which ultimately affected tourism satisfaction. This study confirmed the importance of tourism apps in smart tourism cities along with the importance of basic physical environments. Through this, it provides useful implications for establishing service improvement strategies for smart tourism cities.

• The Journal of the Korea Contents Association
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• v.15 no.8
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• pp.519-531
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• 2015

For tourism, Information Technology (IT) is the one of the most important factors, therefore, tourism has been open to IT. Through internet, the sources of information became extensive. Smartphone and Social Network Service (SNS) make huge changes in tourism. In line with this, Korea Tourism Organization (KTO) is developing the smart tourism system, composed of internet, smartphone, SNS, as representative of Korea tourism. In this research, KTO's main channels, internet, smartphone, SNS, of smart tourism system will be analyzed as well as the connectivity between the channels.